"Numeric vs. Natural Language Messages in Experimental Cheap Talk Games"

William Minozzi - The Ohio State University - minozzi.1@osu.edu (curator) 
Jonathan Woon - University of Pittsburgh - woon@pitt.edu (corresponding author)

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Compute environment via sessionInfo():

R version 4.4.0 (2024-04-24)Platform: aarch64-apple-darwin20Running under: macOS Sonoma 14.5Matrix products: defaultBLAS:   /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib LAPACK: /Library/Frameworks/R.framework/Versions/4.4-arm64/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.0locale:[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8time zone: America/New_Yorktzcode source: internalattached base packages:[1] stats     graphics  grDevices utils     datasets  methods   base     other attached packages:[1] cowplot_1.1.3      ggplot2_3.5.1      e1071_1.7-14       rstanarm_2.32.1   [5] Rcpp_1.0.12        rstan_2.32.6       StanHeaders_2.32.9 data.table_1.15.4 loaded via a namespace (and not attached): [1] tidyselect_1.2.1     dplyr_1.1.4          loo_2.7.0            [4] fastmap_1.2.0        tensorA_0.36.2.1     shinystan_2.6.0      [7] promises_1.3.0       shinyjs_2.1.0        digest_0.6.35       [10] mime_0.12            lifecycle_1.0.4      survival_3.5-8      [13] magrittr_2.0.3       posterior_1.5.0      compiler_4.4.0      [16] rlang_1.1.3          tools_4.4.0          igraph_2.0.3        [19] utf8_1.2.4           htmlwidgets_1.6.4    pkgbuild_1.4.4      [22] plyr_1.8.9           dygraphs_1.1.1.6     pkgload_1.3.4       [25] abind_1.4-5          miniUI_0.1.1.1       withr_3.0.0         [28] grid_4.4.0           stats4_4.4.0         fansi_1.0.6         [31] xts_0.14.0           xtable_1.8-4         colorspace_2.1-0    [34] inline_0.3.19        scales_1.3.0         gtools_3.9.5        [37] MASS_7.3-60.2        cli_3.6.2            generics_0.1.3      [40] RcppParallel_5.1.7   rstudioapi_0.16.0    reshape2_1.4.4      [43] minqa_1.2.7          proxy_0.4-27         stringr_1.5.1       [46] shinythemes_1.2.0    splines_4.4.0        bayesplot_1.11.1    [49] parallel_4.4.0       matrixStats_1.3.0    base64enc_0.1-3     [52] vctrs_0.6.5          boot_1.3-30          Matrix_1.7-0        [55] crosstalk_1.2.1      glue_1.7.0           nloptr_2.0.3        [58] codetools_0.2-20     DT_0.33              distributional_0.4.0[61] stringi_1.8.4        gtable_0.3.5         later_1.3.2         [64] QuickJSR_1.2.2       lme4_1.1-35.3        munsell_0.5.1       [67] tibble_3.2.1         colourpicker_1.3.0   pillar_1.9.0        [70] htmltools_0.5.8.1    R6_2.5.1             shiny_1.8.1.1       [73] lattice_0.22-6       markdown_1.13        backports_1.5.0     [76] threejs_0.3.3        httpuv_1.6.15        rstantools_2.4.0    [79] class_7.3-22         gridExtra_2.3        nlme_3.1-164        [82] checkmate_2.3.1      zoo_1.8-12           pkgconfig_2.0.3 

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List of files:

CODE 

functions.R
00-data-prep.R01-analysis.R02-tables.R03-figures.R04-reported-quantities.R

RAW DATA 
161010_1942_1_clicks.xls161010_1942_1_globals.xls161010_1942_1_subjects.xls161017_0949_1_subjects.xls161017_0949_2_clicks.xls161017_0949_2_subjects.csv161017_0949_2_subjects.xls161017_1141_1_subjects.xls161017_1141_2_clicks.xls161017_1141_2_subjects.csv161017_1141_2_subjects.xls161017_1350_1_subjects.xls161017_1350_2_clicks.xls161017_1350_2_subjects.csv161017_1350_2_subjects.xls161021_0918_1_subjects.xls161021_0918_2_clicks.xls161021_0918_2_subjects.csv161021_0918_2_subjects.xls161021_1147_1_subjects.xls161021_1147_2_clicks.xls161021_1147_2_subjects.csv161021_1147_2_subjects.xls161021_1359_1_subjects.xls161021_1359_2_clicks.xls161021_1359_2_subjects.csv161021_1359_2_subjects.xls
message_data.csv

CLEANED/CODED DATA
text_messages.rdaall_data.rdaanalysis_data.RDatachat_coding.RDataANALYSIS RESULTS

results-2023-08-04.RDataresults-2023-08-31.RDataresults-2024-03-07.RData

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Explanation of raw data files:

There are three files associated with each session. X is the date of the session, Y is the time that tree initially created the file, so X_Y identifies a session.

In every file, ignore Subject 1, as this corresponds to an experimenter/admin screen.

X_Y_1_subjects.xls - this is from the “instruction quiz” part of the session. We can use this to measure initial comprehension. The variables are Test1 through Test10. For each variable, 1 denotes the correct answer; any other code is an incorrect answer.

X_Y_2_subjects.xls - the main behavioral data file from the experiment. 

	Type: 1=Sender, 0=Receiver
	Target: R’s target
	Message: numeric message
	msgstring: text message
	Action

X_Y_2_clicks.xls - this table records each time that a subject respositions a slider on the screen; can be sorted by Period, Subject, and Time. 
	
	clicktype:  1 = message slider, 2 = payoff calculator slider, 3 = action slider


Description of sessions

161017_0949 - Numeric, target sequence 1
161017_1141 - Numeric, target sequence 2
161017_1350 - Text, target sequence 3
161021_0918 - Numeric, target sequence 3
161021_1147 - Text, target sequence 2
161021_1359 - Text, target sequence 1